Update app.py

app.py

@@ -1,15 +1,9 @@
 import gradio as gr
-from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
 
-model_name = "flexudy/t5-base-multi-sentence-doctor"
-tokenizer = AutoTokenizer.from_pretrained(model_name)
-model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
-
-def correct_sentences(text):
-    inputs = tokenizer.encode(text, return_tensors="pt", truncation=True)
-    outputs = model.generate(inputs, max_length=512)
-    return tokenizer.decode(outputs[0], skip_special_tokens=True)
-
-demo = gr.Interface(fn=correct_sentences, inputs="text", outputs="text", title="Sentence Doctor")
+def greet(name):
+    return "Hello " + name + "!!"
 
+# ✅ Gradio Interface를 사용해야 REST API /run/predict 자동 활성화
+demo = gr.Interface(fn=greet, inputs="text", outputs="text")
 demo.launch()
+